• 主题
高级搜索  >
历史搜索 清空历史
首页> 外文期刊>IEEE Transactions on Aerospace and Electronic Systems >Auxiliary truncated particle filtering with least-square method for bearings-only maneuvering target tracking
【24h】

Auxiliary truncated particle filtering with least-square method for bearings-only maneuvering target tracking

机译：最小二乘辅助截断粒子滤波仅用于方位机动目标跟踪

获取原文
获取原文并翻译 | 示例
           
页面导航
  • 摘要
  • 著录项
  • 相似文献
  • 相关主题

摘要

In the paper, a novel auxiliary truncated particle filtering for bearings-only maneuvering target tracking (ATPF-BOT) is proposed. In the proposed algorithm, a modified prior probability density function (PDF) is derived to solve the modeling uncertainty problem, which can simultaneously incorporate current measurement information and target characteristic information. Meanwhile, the proposal distribution is jointly designed by using the prior PDF and the modified prior PDF. Moreover, the proposal distribution is approximately calculated based on adaptive least square method so as to apply the ATPF algorithm for bearings-only maneuvering target tracking, and a practical algorithm is also developed. The experiment results show that the proposed algorithm is computationally efficient and successfully implemented in bearings-only target tracking systems.
机译：在本文中，提出了一种仅用于方位机动目标跟踪（ATPF-BOT）的新型辅助截断粒子滤波。在提出的算法中，导出了改进的先验概率密度函数（PDF）以解决建模不确定性问题，该问题可以同时合并当前的测量信息和目标特征信息。同时，通过使用在先PDF和经修改的在先PDF共同设计提案分配。此外，基于自适应最小二乘法对提议分布进行近似计算，从而将ATPF算法应用于纯方位机动目标跟踪，并开发了一种实用的算法。实验结果表明，该算法具有较高的计算效率，可以在纯方位目标跟踪系统中成功实现。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱：kefu@zhangqiaokeyan.com

京公网安备：11010802029741号 ICP备案号：京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有

  • 客服微信

  • 服务号